Added Privacy Policay page and removed unnecessary console logs

.github/workflows/deploy.yml

@@ -2,7 +2,7 @@ name: Azure CI/CD Pipeline
 
 on:
   push:
-    branches: [ "azureProd" ]
+    branches: [ "Production" ]
 
 jobs:
   build:

next.config.mjs

@@ -42,10 +42,6 @@ const nextConfig = {
  eslint: {
    ignoreDuringBuilds: true,
  },
- server :{
-   port: 3000,
- }
-
   // experimental: {
   //       serverComponentsExternalPackages: ['sharp', 'onnxruntime-node'],
   //   },

prisma/migrations/20240715041404_remove_unnecessary_colomn_subscription_quota/migration.sql

@@ -0,0 +1,13 @@
+/*
+  Warnings:
+
+  - You are about to drop the column `aiVoices` on the `subscriptionQuota` table. All the data in the column will be lost.
+
+*/
+-- AlterTable
+ALTER TABLE "subscriptionQuota" DROP COLUMN "aiVoices",
+ALTER COLUMN "aipresentation" SET DEFAULT 0,
+ALTER COLUMN "gpt3_5Question" SET DEFAULT 10,
+ALTER COLUMN "gpt4oQuestion" SET DEFAULT 2,
+ALTER COLUMN "aiImages" SET DEFAULT 2,
+ALTER COLUMN "textToSpeech" SET DEFAULT 1;

prisma/schema.prisma

@@ -194,13 +194,12 @@ model subscriptionQuota {
   renewal            DateTime?          @default(now())
   subscriptionStatus SubscriptionStatus @default(free)
   aiChatWithDoc      Int                @default(2)
-  aipresentation     Int                @default(1)
-  gpt3_5Question     Int                @default(1000)
+  aipresentation     Int                @default(0)
+  gpt3_5Question     Int                @default(10)
   gpt4Question       Int                @default(0)
-  gpt4oQuestion      Int                @default(0)
-  aiImages           Int                @default(0)
-  aiVoices           Int?               @default(0)
-  textToSpeech       Int                @default(0)
+  gpt4oQuestion      Int                @default(2)
+  aiImages           Int                @default(2)
+  textToSpeech       Int                @default(1)
   user               User               @relation(fields: [userId], references: [id], onDelete: Cascade)
 }
 

src/actions/chat/chatSession.ts

@@ -58,7 +58,6 @@ export const getAllPreviousSessionsWithOtherData = async (userId : string) => {
 
 //update the chatName
 export const updateChatName = async (session : string, newChatName: string) => {
-  console.log("updating chat name")
   const updatedChat = await db.session.update({
     where: { session: session },
     data: { chatName: newChatName },

src/actions/cloudconvert/cloudconvert.ts

@@ -56,9 +56,6 @@ export const pptxToPdf = async (filePath: string, param : string, userId: string
           if (!exportTask || !exportTask.result?.files?.length) {
               throw new Error('Export task not completed successfully or no files found');
           }
-          console.log('Exported PDF file:', exportTask.result);
-          console.log('Exported PDF file:', exportTask.result.files[0]);
-          console.log('Exported PDF file:', exportTask.result.files[0].url);
           const file = exportTask.result.files[0];
 
           // Download the converted PDF file

src/actions/huggingface/huggingFace.ts

@@ -4,7 +4,6 @@ import { Data, uploadImageToS3 } from '../userPromptImage/uploadImageToS3';
 
 export async function imageGenerator(data: { prompt: string, width?: number, height?: number },userId : string) :Promise<Data> {
    const { prompt, width = 768, height = 768 } = data;
-   console.log('Generating image...');
    let imageBlob;
    const inference = new HfInference(process.env.HUGGINGFACE_API_KEY);
    for (let i = 0; i < 5; i++) {

src/actions/register.ts

@@ -53,7 +53,6 @@ export const Register = async (values: z.infer<typeof RegisterUserSchema>,callba
           callbackUrl,
           plan
         );
-        console.log("Confirmation mail sent on your email");
       }
 
       return { success: "Account created successfully! Please confirm with mail sent in your email" };

src/actions/stabilityai/upscaleImage.ts

@@ -12,7 +12,6 @@ export const upscaleImage = async (fileName : string, url : string,value : numbe
       if(height * width < 262144) throw new Error('Image size is invalid. Please provide valid image size.');
       const engineId = 'esrgan-v1-x2plus'
       const apiHost = process.env.STABILITY_AI_API_HOST ?? 'https://api.stability.ai'
-      console.log('function invoked')
 
       const res = await fetch(url) ;
       const arrayBuffer = await res.arrayBuffer();

src/actions/userPromptAudio/userPromptAudio.ts

@@ -14,7 +14,6 @@ export type AudioData ={
 }
 
 export const addAudioDataToDB = async (data : AudioData) => {
-   console.log(data);
    try{const {id,userId, session,prompt ,audioUrl,fileKey,fileName,fileType} = data;
    const res = await db.userPromptAudio.create({
       data: {

src/actions/userPromptImage/imageSessionCreator.ts

@@ -3,7 +3,6 @@ import { createChatSession } from "@/actions/chat/chatSession";
 import { auth } from "@/auth";
 
 export const createSession = async (name: string,  sessionType : string) => {
-    console.log("Creating Image Session");
     const userSession = await auth();
     if (!userSession) return "/login";
     const session = await createChatSession(userSession?.user?.id || "", name, sessionType);

src/aiflavoured/chat.ts

@@ -106,7 +106,6 @@ export const chats = async (message : string) => {
   const retrieverChain = RunnableSequence.from([
     (prevResult) => {
       const standaloneQuestion = prevResult.standalone_question;
-      console.log(standaloneQuestion);
       return { standaloneQuestion };
     },
     async ({ standaloneQuestion }) => {

src/aiflavoured/presentation/aiSlidesForPresentation.ts

@@ -4,7 +4,6 @@ import { PromptTemplate } from "@langchain/core/prompts";
 import { ChatOpenAI } from "@langchain/openai";
 import { slidePrompt, refineOutput } from "./promptsForPresentation";
 export const aiSlidesForPresentation = async (model : string = 'gpt-4o', numOfSlides : string = '10', docsData : string, audience : string, wording : string) :Promise<string> => {
-  console.log("working on it...");
   let slideData : string = "";
   try{
 

src/aiflavoured/presentation/bogus/getSlidesDataFromAi.ts

@@ -14,7 +14,6 @@ import {
 import { BaseLanguageModel, BaseLanguageModelCallOptions, BaseLanguageModelInterface } from "@langchain/core/language_models/base";
 
 export const getSlidesDataFromAi = async (docs?: any, aiModel?: string) => {
-  console.log("received text from docs and generating summary");
   const documents = []; //temprary storage for documents
 
 
@@ -52,6 +51,5 @@ export const getSlidesDataFromAi = async (docs?: any, aiModel?: string) => {
   });
 
   const summary = await summarizeChain.invoke({ input_documents: docText });
-  console.log(summary);
   return summary.output_text;
 };

src/aiflavoured/presentation/bogus/getSlidesDataFromAiCopy.ts

@@ -14,7 +14,6 @@ import { LLMChain, RefineDocumentsChain, loadSummarizationChain } from "langchai
 import { Input } from "@/components/ui/input";
 
 export const getSlidesDataFromAi2 = async (docs?: any, aiModel?: string) => {
-  console.log("received text from docs and generating summary");
   const splitter = new TokenTextSplitter({
     chunkSize: 16000,
     chunkOverlap: 300,
@@ -37,7 +36,7 @@ export const getSlidesDataFromAi2 = async (docs?: any, aiModel?: string) => {
   //   },
   //   {
   //     context : ({input}) => input.context,
-  //     numberOfSlides : ({input}) => input.numberOfSlides,
+  //     numberOfSlides : ({input}) => input.numberOfSlidzes,
   //     userPrompt : ({input}) => input.userPrompt,  
   //   },
   //   slideChain,

src/aiflavoured/presentation/bogus/presentation2.ts

@@ -119,7 +119,6 @@ const titleAndContent = async (pptx: pptxgen, image : string, model : string) =>
   return pptx;
 };
 const titleSlide =async (pptx: pptxgen, image : string, model : string) => {
-  console.log('model', model)
   const dominantColors : string = await histogram(image);
   console.log("dominantColors", dominantColors);
   const colors = await getTheBestColorForTitleAndSubheading(model , dominantColors);

src/aiflavoured/presentation/getImagesFromGoogleAndConvertToBase64.ts

@@ -56,7 +56,6 @@ export type Localbase64Image = {
       mime : string;
 };
 export const getImagesFromGoogleAsBase64ArrayWithoutHeaders = async ( query : string) =>{
-      console.log('Converting images to base64 without header')
       try {
             let filteredImagesDesgins : Base64Image[] = [];
             let base64Images: Base64Image[] = [];
@@ -70,33 +69,28 @@ export const getImagesFromGoogleAsBase64ArrayWithoutHeaders = async ( query : st
                               const base64Image = await imageToBase64(image);
                               if(base64Image !== 'fetch failed'){
                                     base64Images.push({link : image, base64 : base64Image, mime : mime});
-                                    console.log({link : image, base64 : base64Image.substring(0,100), mime : mime})
                               }
                         }
                   }catch(e){
                         console.log(e)
                   }     
             }
             const filterAI = await googleImagesDesignFilterAI('gpt-4o', base64Images) as string[];
-          console.log(filterAI)
            if(filterAI){ 
             for(let i=0; i < filterAI.length; i++){
                   if(filterAI[i].toLocaleLowerCase() === 'yes' || filterAI[i].toLocaleLowerCase() === 'yes.' || filterAI[i].toLocaleLowerCase().includes('yes')){
-                        console.log("Added")
                         filteredImagesDesgins.push(base64Images[i]);
                   }
             }}
 
       }
-      console.log(filteredImagesDesgins) 
       return filteredImagesDesgins;
       } catch (e) {
             console.log("Error from here",e);
       }
 
 }
 export const getImagesFromGoogleAsBase64ArrayWithHeaders =async ( query : string) =>{
-      console.log('working on images from google as base64 with headers')
       try {
             let base64Image = ""
             let base64Images: Base64Image[] = [];

src/aiflavoured/presentation/getTheTopicOfPresentaionAI.ts

@@ -3,7 +3,6 @@ import { PromptTemplate } from "@langchain/core/prompts";
 import { ChatOpenAI } from "@langchain/openai";
 
 export const getTheTopicOfPresentaionAI=async (model: string, data: string)=>{
-      console.log('model used for getTheTopicOfPresentaionAI', model)
       const llm = new ChatOpenAI({
             openAIApiKey: process.env.OPENAI_API_KEY,
             temperature: 0.2,
@@ -42,7 +41,6 @@ export const getTheTopicOfPresentaionAI=async (model: string, data: string)=>{
       return title;
 }
 export const getTheTopicOfPresentaionAITweaker=async (model: string, data: string)=>{
-      console.log('model used for getTheTopicOfPresentaionAI', model)
       const llm = new ChatOpenAI({
             openAIApiKey: process.env.OPENAI_API_KEY,
             temperature: 0.2,

src/aiflavoured/presentation/googleImagesDesignFilterAI.ts

@@ -22,8 +22,6 @@ export const googleImagesDesignFilterAI = async (
       try {
         const base64 = items.base64;
         const mime = items.mime;
-        console.log("base64 from ai", base64.substring(0, 100));
-        console.log("mime from ai", mime);
         const message = new HumanMessage({
           content: [
             {
@@ -42,7 +40,6 @@ export const googleImagesDesignFilterAI = async (
           ],
         });
         const response = await chat.invoke([message]);
-        console.log(response.content);
         filteredImageUrls.push(response.content.toString());
       } catch (e) {
         if (e instanceof Error) {

src/aiflavoured/presentation/simplePresentation.ts

@@ -153,7 +153,6 @@ const titleAndContent = async (pptx: pptxgen, colors : any, model : string) => {
       return pptx;
     };
 export const spresentation = async () => {
-      console.log("Called")
       const colors  = {title: "ffb8ea", body: "f2e8ef"}; 
   let pptx = new pptxgen();
       pptx = await titleAndContent(pptx, colors, "gpt-4-turbo");
@@ -178,7 +177,6 @@ export const spresentation = async () => {
   const buffer = ArrayBuffer.isView(streamData) ? streamData.buffer : undefined;
 
   if (buffer) {
-      console.log("exiting")
       fs.writeFileSync("output/FPresentation.pptx", new Uint8Array(buffer));
   }
 };

src/aiflavoured/presentation/themes/biomePresentationTheme.ts

@@ -1729,7 +1729,6 @@ const pictureWithCaption = async (pptx: pptxgen , font : Font , waterMark : bool
     }
 
 export const biomePresentationTheme = async ({author, title, pptxData, imageSearch, waterMark}: PresentationData , photosWithLink : PresentationImage) => {
-      console.log("presentaion function call");
       try {
         let index = 0;
         let templatePicker = Math.floor(Math.random() * 4);
@@ -1914,7 +1913,6 @@ export const biomePresentationTheme = async ({author, title, pptxData, imageSear
                 });
               }
               } else {
-                console.log("bodyTAC is a string")
                 // bodyTAC is a strin
                 if(bodyTAC.length < maxCharCountForBody){
                   let bodyTACString = bodyTAC.replace(/\n/g, '\n\n');
@@ -1987,7 +1985,6 @@ export const biomePresentationTheme = async ({author, title, pptxData, imageSear
                      return `${index + 1}. ${item}`
                     }
                   }).join('\n');
-                  console.log(lineSpacing)
                   slideO.addText(contentOString, {
                     color : colors.body,
                     placeholder: "body",
@@ -2526,7 +2523,6 @@ export const biomePresentationTheme = async ({author, title, pptxData, imageSear
             } )
             break;
             default:
-            console.log(`No slide found for key : ${key}`)
         }  
         slideNumber++;
         index++;
@@ -2536,12 +2532,10 @@ export const biomePresentationTheme = async ({author, title, pptxData, imageSear
       }
       // Generate a stream
       try {
-        console.log("Generating Stream");
         const streamData = await pptx.stream();
         const buffer = ArrayBuffer.isView(streamData) ? streamData.buffer : undefined;
 
         if (buffer) {
-            console.log("exiting")
             //temporarily saving the file
 
             fs.writeFileSync(`output/${author}.pptx`, new Uint8Array(buffer));
@@ -2576,7 +2570,6 @@ export const biomePresentationTheme = async ({author, title, pptxData, imageSear
               pptxBufferBase64,
               filePath
             }
-            console.log("exitng from presention")
             return data;
 
         } else {

src/aiflavoured/presentation/themes/darkThemeMoonPresentation.ts

@@ -1415,7 +1415,6 @@ const pictureWithCaption = async (pptx: pptxgen, font: Font, waterMark: boolean)
 }
 
 export const darkThemeMoonPresentation = async ({author, title, pptxData, imageSearch, waterMark}: PresentationData, photosWithLink: PresentationImage) => {
-      console.log("presentaion function call");
       try {
 
         let templatePicker = Math.floor(Math.random() * 4);
@@ -1566,7 +1565,6 @@ export const darkThemeMoonPresentation = async ({author, title, pptxData, imageS
               });
               }
             } else {
-              console.log("bodyTAC is a string")
               // bodyTAC is a strin
               if (bodyTAC.length < maxCharCountForBody) {
               let bodyTACString = bodyTAC.replace(/\n/g, '\n\n');
@@ -1639,7 +1637,6 @@ export const darkThemeMoonPresentation = async ({author, title, pptxData, imageS
                 return `${index + 1}. ${item}`
               }
               }).join('\n');
-              console.log(lineSpacing)
               slideTC.addText(contentTCString, {
               color: colors.body,
               placeholder: "leftContent",
@@ -2133,7 +2130,6 @@ export const darkThemeMoonPresentation = async ({author, title, pptxData, imageS
             });
             break;
             default:
-            console.log(`No slide found for key : ${key}`)
         }  
         slideNumber++
         index++;
@@ -2143,12 +2139,10 @@ export const darkThemeMoonPresentation = async ({author, title, pptxData, imageS
       }
       // Generate a stream
       try {
-        console.log("Generating Stream");
         const streamData = await pptx.stream();
         const buffer = ArrayBuffer.isView(streamData) ? streamData.buffer : undefined;
 
         if (buffer) {
-            console.log("exiting")
             //temporarily saving the file
 
             fs.writeFileSync(`output/${author}.pptx`, new Uint8Array(buffer));
@@ -2182,7 +2176,6 @@ export const darkThemeMoonPresentation = async ({author, title, pptxData, imageS
               pptxBufferBase64,
               filePath
             }
-            console.log("exitng from presention")
             return data;
 
         } else {